Dimitris Papailiopoulos

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 18

Top Topics

Learning Algorithm

Previously Learned

Expressive Power

Top Venues

Trans. Mach. Learn. Res.

Publications

Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos
Teaching Arithmetic to Small Transformers. ICLR (2024)
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. Trans. Mach. Learn. Res. 2024 (2024)
Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
How Well Can Transformers Emulate In-context Newton's Method? CoRR (2024)
Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data. CoRR (2024)
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks. CoRR (2024)
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
CHAI: Clustered Head Attention for Efficient LLM Inference. CoRR (2024)
Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
Looped Transformers are Better at Learning Learning Algorithms. ICLR (2024)
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Mini-Batch Optimization of Contrastive Loss. Trans. Mach. Learn. Res. 2024 (2024)
Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS (2023)
Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. CoRR (2023)
Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris Papailiopoulos
Cuttlefish: Low-Rank Model Training without All the Tuning. MLSys (2023)
Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. ACL (Findings) (2023)
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Mini-Batch Optimization of Contrastive Loss. CoRR (2023)
Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
Looped Transformers are Better at Learning Learning Algorithms. CoRR (2023)
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak
Transformers as Algorithms: Generalization and Stability in In-context Learning. ICML (2023)
Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos
Teaching Arithmetic to Small Transformers. CoRR (2023)
Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos
The Expressive Power of Tuning Only the Normalization Layers. COLT (2023)
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos
Looped Transformers as Programmable Computers. ICML (2023)
Babak Hassibi, Alexandros G. Dimakis, Dimitris Papailiopoulos
MCMC methods for integer least-squares problems. Allerton (2010)